Sentence examples for construction membership from inspiring English sources

The proposed method could also be used to construction membership functions from descriptive knowledge obtained from other sources.

Depending on the construction of membership and non-membership functions, the constructed intuitionistic fuzzy linear programming model is solved by three kinds of approaches: optimistic approach, pessimistic approach and mixed approach.

After the previous analysis, the core of the classifier based on fuzzy logic mainly lies in the construction of membership function and rules.

The first technique is based on the construction of membership functions of subsets of nondominated alternatives with simultaneous considering of all criteria (fuzzy preference relations).

Because of the construction of the membership functions, the newly added constraints contain quadratic fractional functions.

Second, a method was developed to tighten the upper bounds which were used for the construction of the membership functions and to define weights for each deviational parameters.

Construction of fuzzy membership functions is accomplished based on two types of knowledge: 1) knowledge on typical environmental conditions of each soil type and 2) knowledge on how each soil type corresponds to changes in environmental conditions.

Marble Collegiate, which since 1854 has been housed in a grand structure with soaring stained glass windows on Fifth Avenue at 29th Street (the church is named for the marble blocks used in its construction), has maintained a membership of more than 2,000 people since Dr. Caliandro took over from Dr. Peale.

When the parameter quality is good enough to be expressed as distributional density functions or fuzzy membership functions, construction of an IMP model would lose the detailed information.

In the construction of the objective membership function, an error from the early research work is corrected and the right conclusion has been made.

The grey-fuzzy logic was established to quantify the conditioning performance on the basis of grey relational coefficient generation, membership function construction, and fuzzy rule description.